@article{PAR00030015,
  title = {{S}tandardize data synchronization policies for distributed agent-based simulations using proxies},
  author = {{G}rosjean, {L}. and {B}reugnot, {P}aul and {D}rogoul, {A}lexis and {H}errmann, {B}. and {H}uynh, {N}. {Q}. and {L}ang, {C}. and {M}arilleau, {N}icolas and {P}hilippe, {L}.},
  editor = {},
  language = {{ENG}},
  abstract = {{A}gent-based modeling, or agent-based model ({ABM}), is a powerful tool that helps researchers understand complex and high-stakes problems, such as the impact of climate change, digital twins, or epidemiology issues. {H}owever, as the scale and/or the precision of these models increase, performance problems emerge when running large simulations on standard computers. {A}gent-based simulation platforms, can no longer run these large-scale models in a reasonable amount of time, or even cannot run them at all. {T}o address these problems, {ABM} can be distributed using {H}igh-{P}erformance {C}omputing ({HPC}) techniques to divide the workload across multiple processors, speeding up the simulation execution. {D}istribution bring the need for defining data synchronization protocols between processors, and ways to access agents across processors to properly execute the distributed simulation. {T}o tackle the issues introduced by the distribution of a model, we propose the concept of proxy: entities managing interactions between agents across distributed instances of a simulation and controlling access to agent data using data synchronization policies. {T}he effectiveness is shown through a case study using the {GAMA} platform.},
  keywords = {{D}ata synchronization ; {D}istribution ; {A}gent-based modeling},
  booktitle = {},
  journal = {{M}ulti-{A}gent {S}ystems, {E}umas 2024},
  volume = {15685},
  numero = {},
  pages = {21--38},
  ISSN = {2945-9133},
  year = {2025},
  DOI = {10.1007/978-3-031-93930-3_2},
  URL = {https://www.documentation.ird.fr/hor/{PAR}00030015},
}